New article on the journal Energies

May 19, 2020 May 19, 2020

Members of the Clim2power consortium have published a new article on the journal Energies. The paper, which is part of the special issue Modelling of Variable Renewable Generation: Wind and Solar Photovoltaic Power Plant, assessed how time series generated by machine learning models (MLMs) compare to Renewables.ninja models (RN) in terms of their ability to replicate the characteristics of observed nationally aggregated wind power generation for Germany. The authors demonstrated that MLM models show a similar performance to RN, even when information on turbine locations and turbine types is unavailable.

Scatterplot of modelled generation time series compared with observations (Renewables.ninja time series abbreviated as RN and machine learning model time series abbreviated as MLM1 and MLM2 versus observations on the X-axis)